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      "source": [
        "# Transfer Learning\n",
        "\n",
        "\n",
        "In this notebook we are going to investigate Transfer Learning using models available from torchvision.\n",
        "\n",
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/SharifiZarchi/Introduction_to_Machine_Learning/blob/main/Jupyter_Notebooks/Chapter_04_Computer_Vision/Transfer_Learning.ipynb)\n",
        "[![Open In kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/SharifiZarchi/Introduction_to_Machine_Learning/main/Jupyter_Notebooks/Chapter_04_Computer_Vision/Transfer_Learning.ipynb)"
      ],
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        "id": "axViOHHuSBe5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# @title setup and imports\n",
        "\n",
        "from matplotlib import pyplot as plt\n",
        "from tqdm import trange\n",
        "\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "from torch.optim import Adam\n",
        "from torch.nn import CrossEntropyLoss\n",
        "from torch.utils.data import DataLoader\n",
        "\n",
        "from torchvision import transforms, models\n",
        "from torchvision.datasets.cifar import CIFAR10\n",
        "\n",
        "from torchsummary import summary\n",
        "\n",
        "torch.manual_seed(0)\n",
        "\n",
        "device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')"
      ],
      "metadata": {
        "id": "CYQYyHliSpeZ",
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    {
      "cell_type": "code",
      "source": [
        "# @title helper functions\n",
        "\n",
        "def train_epoch(model, dataloader, loss_fn, optimizer, device):\n",
        "    model.train()\n",
        "    train_loss = 0.\n",
        "    train_acc = 0.\n",
        "    for images, labels in dataloader:\n",
        "        images, labels = images.to(device), labels.to(device)\n",
        "        logits = model(images)\n",
        "        loss = loss_fn(logits, labels)\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "        optimizer.zero_grad()\n",
        "        train_loss += loss.item()\n",
        "        train_acc += (logits.argmax(dim=1) == labels).sum().item()\n",
        "    train_loss /= len(dataloader)\n",
        "    train_acc /= len(dataloader.dataset)\n",
        "    return train_loss, train_acc\n",
        "\n",
        "\n",
        "def validate_epoch(model, dataloader, loss_fn, device):\n",
        "    model.eval()\n",
        "    val_loss = 0.\n",
        "    val_acc = 0.\n",
        "    with torch.inference_mode():\n",
        "        for images, labels in dataloader:\n",
        "            images, labels = images.to(device), labels.to(device)\n",
        "            logits = model(images)\n",
        "            loss = loss_fn(logits, labels)\n",
        "            val_loss += loss.item()\n",
        "            val_acc += (logits.argmax(dim=1) == labels).sum().item()\n",
        "        val_loss /= len(dataloader)\n",
        "        val_acc /= len(dataloader.dataset)\n",
        "    return val_loss, val_acc\n",
        "\n",
        "\n",
        "def train_model(model, train_dataloader, val_dataloader, optimizer, n_epochs, device=device):\n",
        "    history = {'train_loss': [], 'train_acc': [], 'val_loss': [], 'val_acc': []}\n",
        "    loss_fn = CrossEntropyLoss()\n",
        "    for _ in (pbar := trange(n_epochs)):\n",
        "        train_loss, train_acc = train_epoch(model, train_dataloader, loss_fn, optimizer, device)\n",
        "        history['train_loss'].append(train_loss), history['train_acc'].append(train_acc)\n",
        "        val_loss, val_acc = validate_epoch(model, val_dataloader, loss_fn, device)\n",
        "        history['val_loss'].append(val_loss), history['val_acc'].append(val_acc)\n",
        "        pbar.set_description(f'Training Accuracy {100 * train_acc:.2f}% | Validation Accuracy {100 * val_acc:.2f}% ')\n",
        "    return history\n",
        "\n",
        "\n",
        "def plot_history(history):\n",
        "    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n",
        "    ax1.plot(history['train_loss'], label='train')\n",
        "    ax1.plot(history['val_loss'], label='val')\n",
        "    ax1.set_xlabel('Epochs')\n",
        "    ax1.set_ylabel('Loss')\n",
        "    ax1.legend()\n",
        "\n",
        "    ax2.plot(history['train_acc'], label='train')\n",
        "    ax2.plot(history['val_acc'], label='val')\n",
        "    ax2.set_xlabel('Epochs')\n",
        "    ax2.set_ylabel('Accuracy')\n",
        "    ax2.legend()\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "def compare_results(normal_results, pre_trained_results):\n",
        "    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n",
        "\n",
        "    ax1.plot(results['train_acc'], label='Normal')\n",
        "    ax1.plot(pre_trained_results['train_acc'], label='Pre-Trained')\n",
        "    ax1.set_xlabel('Epochs')\n",
        "    ax1.set_ylabel('Accuracy')\n",
        "    ax1.set_title('Training Accuracy')\n",
        "    ax1.legend()\n",
        "\n",
        "    ax2.plot(results['val_acc'], label='Normal')\n",
        "    ax2.plot(pre_trained_results['val_acc'], label='Pre-Trained')\n",
        "    ax2.set_xlabel('Epochs')\n",
        "    ax2.set_ylabel('Accuracy')\n",
        "    ax2.set_title('Test Accuracy')\n",
        "    ax2.legend()\n",
        "\n",
        "    plt.show()"
      ],
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    {
      "cell_type": "code",
      "source": [
        "# @title CIFAR10 dataset\n",
        "\n",
        "norm_mean = (0.4914, 0.4822, 0.4465)\n",
        "norm_std = (0.2023, 0.1994, 0.2010)\n",
        "batch_size = 128\n",
        "\n",
        "transform_train = transforms.Compose([\n",
        "    transforms.RandomCrop(32, padding=4),\n",
        "    transforms.RandomHorizontalFlip(),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(norm_mean, norm_std),\n",
        "])\n",
        "\n",
        "transform_test = transforms.Compose([\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(norm_mean, norm_std),\n",
        "])\n",
        "\n",
        "trainset = CIFAR10(root='./data', train=True, download=True, transform=transform_train)\n",
        "trainloader = DataLoader(trainset, batch_size=batch_size, shuffle=True, num_workers=2)\n",
        "\n",
        "testset = CIFAR10(root='./data', train=False, download=True, transform=transform_test)\n",
        "testloader = DataLoader(testset, batch_size=batch_size, shuffle=False, num_workers=2)\n",
        "\n",
        "\n",
        "classes = ('plane', 'car', 'bird', 'cat', 'deer',\n",
        "           'dog', 'frog', 'horse', 'ship', 'truck')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "cellView": "form",
        "id": "4-ORDaFPSpXz",
        "outputId": "20410e77-dd4e-483c-9840-17872daeb48b",
        "execution": {
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      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Files already downloaded and verified\n",
            "Files already downloaded and verified\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ResNet18"
      ],
      "metadata": {
        "id": "ATVheApKgEbJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "To observe the improvement caused by transfer learning, we train the `ResNet18` model twice, once with pre-trained weights (from the ImageNet dataset) and once without pre-training."
      ],
      "metadata": {
        "id": "DyWC67CaIjHg"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Without Pre-Training"
      ],
      "metadata": {
        "id": "8vwoikzNKCe_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "We will start by training a ResNet18 without pre-trained weights, so we set `weights=None`."
      ],
      "metadata": {
        "id": "c8DayF6bDz8m"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "resnet18 = models.resnet18(weights=None)\n",
        "num_ftrs = resnet18.fc.in_features\n",
        "resnet18.fc = nn.Linear(num_ftrs, len(classes))\n",
        "\n",
        "resnet18 = resnet18.to(device)\n",
        "if device == 'cuda':\n",
        "    resnet18 = torch.compile(resnet18)\n",
        "optim = Adam(resnet18.parameters())\n",
        "\n",
        "results = train_model(resnet18, trainloader, testloader, optim, n_epochs=20)\n",
        "plot_history(results)"
      ],
      "metadata": {
        "id": "eyLwP0maywKC",
        "execution": {
          "iopub.status.busy": "2024-09-16T23:09:54.191754Z",
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        "trusted": true,
        "outputId": "6730abf7-a329-48e1-e12a-c23aa93a8b96",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 484
        }
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Training Accuracy 84.10% | Validation Accuracy 81.65% : 100%|██████████| 20/20 [09:41<00:00, 29.06s/it]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## With Pre-Training"
      ],
      "metadata": {
        "id": "3ElgJ76UJ5jq"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "By setting `weights='DEFAULT'` we can load the pre-trained weights."
      ],
      "metadata": {
        "id": "nMqn6kNaECqA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "resnet18 = models.resnet18(weights='DEFAULT')\n",
        "num_ftrs = resnet18.fc.in_features\n",
        "resnet18.fc = nn.Linear(num_ftrs, len(classes))\n",
        "\n",
        "resnet18 = resnet18.to(device)\n",
        "if device == 'cuda':\n",
        "    resnet18 = torch.compile(resnet18)"
      ],
      "metadata": {
        "id": "dQEwx40-Di6n"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "We can fine-tune the pre-trained model. Here we are not going to freeze any of its layers and therefore the only real difference from normal trainig is that instead of initializing the network, we use pre-trained weights."
      ],
      "metadata": {
        "id": "fqB8axFpFNQ1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "optim = Adam(resnet18.parameters())\n",
        "pt_results = train_model(resnet18, trainloader, testloader, optim, n_epochs=20)\n",
        "plot_history(pt_results)"
      ],
      "metadata": {
        "id": "norUrdhkyzyO",
        "execution": {
          "iopub.status.busy": "2024-09-16T23:07:07.530519Z",
          "iopub.execute_input": "2024-09-16T23:07:07.530923Z",
          "iopub.status.idle": "2024-09-16T23:09:54.190299Z",
          "shell.execute_reply.started": "2024-09-16T23:07:07.530878Z",
          "shell.execute_reply": "2024-09-16T23:09:54.189206Z"
        },
        "trusted": true,
        "outputId": "c154dbfd-ac65-4967-f262-878d456060a8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        }
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Training Accuracy 86.99% | Validation Accuracy 84.66% : 100%|██████████| 20/20 [09:51<00:00, 29.56s/it]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Results"
      ],
      "metadata": {
        "id": "c7KG-XRDKGaJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "As you can see the pre-trained weights improve the accuracy significantly."
      ],
      "metadata": {
        "id": "qUMJfOsKKHzT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "compare_results(results, pt_results)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "ws6_X4tu547G",
        "outputId": "e478e164-e1b6-44ca-987c-b3ea5f2cc649"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ResNet152"
      ],
      "metadata": {
        "id": "b-_0T-tI6BpO"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Alternatively we could have frozen all the layers except for the final fully connected layer which is what we are going to do here."
      ],
      "metadata": {
        "id": "1OenCUkC6vN0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "resnet152 = models.resnet152(weights='DEFAULT')\n",
        "\n",
        "# Freeze All Layers Except the Final Fully Connected Layer\n",
        "for param in resnet152.parameters():\n",
        "    param.requires_grad = False\n",
        "\n",
        "# Replace the Final Fully Connected Layer\n",
        "num_ftrs = resnet152.fc.in_features\n",
        "resnet152.fc = nn.Linear(num_ftrs, len(classes))\n",
        "\n",
        "resnet152 = resnet152.to(device)\n",
        "if device == 'cuda':\n",
        "    resnet152 = torch.compile(resnet152)"
      ],
      "metadata": {
        "id": "dsd2mdVu6BHT"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "All we have to do now is to pass the parameters of the fully connected layer to the optimizer and train the model."
      ],
      "metadata": {
        "id": "EdnQc1y-Jh8c"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "optim = Adam(resnet152.fc.parameters())\n",
        "results = train_model(resnet152, trainloader, testloader, optim, n_epochs=15)\n",
        "plot_history(results)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        },
        "id": "bXYb5CTxDgSC",
        "outputId": "670b5d67-1a1b-4f52-ee2b-a6274498ed18"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Training Accuracy 38.78% | Validation Accuracy 42.24% : 100%|██████████| 15/15 [10:02<00:00, 40.16s/it]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# To Freeze or not to Freeze 🥶"
      ],
      "metadata": {
        "id": "KLbJR1PL_c-P"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "> ⚠️ It's often best **NOT TO FREEZE** the layers. ⚠️"
      ],
      "metadata": {
        "id": "DvD94V8cJRKe"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## When to Freeze Layers\n",
        "- **Small Dataset**: If your dataset is small, freezing most of the layers helps prevent overfitting. The pretrained layers already contain useful features learned from a large dataset.\n",
        "- **Similar Task**: If your new task is similar to the original task the model was trained on, freezing the layers can help retain the useful features.\n",
        "- **Limited Computational Resources**: Freezing layers reduces the number of parameters to train, which can save computational resources and time."
      ],
      "metadata": {
        "id": "Ww8s30kl_f6_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## When Not to Freeze Layers\n",
        "- **Large Dataset**: If you have a large dataset, you can afford to unfreeze more layers to fine-tune the model more extensively.\n",
        "- **Different Task**: If your new task is significantly different from the original task, you might need to unfreeze more layers to adapt the model to the new task.\n",
        "- **Performance Needs**: If the initial performance with frozen layers is not satisfactory, you can gradually unfreeze layers and fine-tune them to improve performance."
      ],
      "metadata": {
        "id": "LhSvRqZ4JLTN"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Refrences\n",
        "\n",
        "*   [Transfer Learning for Computer Vision Tutorial](https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html)\n",
        "*   [Models and Pre-Trained Weights from PyTorch](https://pytorch.org/vision/stable/models.html)\n"
      ],
      "metadata": {
        "id": "1YQcszUnTpFf"
      }
    }
  ]
}
